Courses

Choosing a course is one of the most important decisions you'll ever make! View our courses and see what our students and lecturers have to say about the courses you are interested in at the links below.

About NUI Galway

Since 1845, NUI Galway has been sharing the highest quality teaching and research with Ireland and the world. Find out what makes our University so special – from our distinguished history to the latest news and campus developments.

Contact Details

Biography

Michael G. Madden is a Senior Lecturer and former head of the Discipline of Information Technology, National University of Ireland, Galway. He previously worked in an Irish internationally-trading engineering software company, where he was the Research & Development Manager. Prior to that, he received his PhD in NUI Galway. He now leads the Machine Learning Research Group in Galway. His research interests include Reinforcement Learning, Bayesian Learning, and the use of appropriate Machine Learning and Data Mining techniques in application areas including logistics, medical diagnosis and chemical analysis.

Research Interests

My research is focused on new theoretical advances in machine learning and data mining, motivated by important practical applications, on the basis that challenging applications foster novel algorithms which in turn enable new applications.

'Analysis of the Effects of Unexpected Outliers in the Classification of Spectroscopy Data'
Glavin, F. G., & Madden, M. G. (2009) 'Analysis of the Effects of Unexpected Outliers in the Classification of Spectroscopy Data'. Paper presented at the 20th Irish Conference on Artificial Intelligence and Cognitive Science, [ARAN Link] [Details]

Proceedings of AI-2010, the Thirtieth SGAI International Conference
David McGlynn and Michael G. Madden (2010) An Ensemble Dynamic Time Warping Classifier with Application to Activity Recognition Proceedings of AI-2010, the Thirtieth SGAI International Conference Cambridge, UK, [Details]

(2010)

Proceedings of the International Conference on Progress in Informatics and Computing
Mei Chen, Michael G. Madden & Lan Liu (2010) Refined Learning of Hidden Markov Models with a Modified Baum-Welch Algorithm and Informative Components Proceedings of the International Conference on Progress in Informatics and Computing Shanghai, [Details]

RESEARCH AND DEVELOPMENT IN INTELLIGENT SYSTEMS XXV
MADDEN, MG et al. (2009) On the Classification Performance of TAN and General Bayesian Networks RESEARCH AND DEVELOPMENT IN INTELLIGENT SYSTEMS XXV , pp.3-16 [ARAN Link] [Details]

On the Classification Performance of TAN and General Bayesian Networks.
Madden, M. G. (2008) On the Classification Performance of TAN and General Bayesian Networks. Conference Paper [ARAN Link] [Details]

Investigation into the use of PCA with Machine Learning for the Identification of Narcotics based on Raman Spectroscopy.
Howley, T., Madden, M.G., O'Connell, M.L., Ryder, A.G. (2007) Investigation into the use of PCA with Machine Learning for the Identification of Narcotics based on Raman Spectroscopy. Conference Paper [Details]

Derivation of DBN structure from expert knowledge in the form of systems of ODEs. Poster at Computing with Uncertainty Workshop.
Catherine G. Enright, Michael G. Madden & Niall Madden. (2010) Derivation of DBN structure from expert knowledge in the form of systems of ODEs. Poster at Computing with Uncertainty Workshop. Minnesota: Other Item [Details]

Workshops

Year

Publication

(2011)

Numerical Solution of a Model for Glucose and Insulin Levels in Critically Ill Patients. Annual Meeting of the UK and Ireland Section of the Society for Industrial and Applied Mathematics.
Nhan Anh Thai, N. Madden, C.G. Enright, M.G. Madden, L. O'Callaghan and P.T. Piiroinen (2011) Numerical Solution of a Model for Glucose and Insulin Levels in Critically Ill Patients. Annual Meeting of the UK and Ireland Section of the Society for Industrial and Applied Mathematics. Workshops [Details]

About NUI Galway

Founded in 1845, we've been inspiring students for 170 years. NUI Galway has earned international recognition as a research-led university with a commitment to top quality teaching.